Home / Alternatives to Sinichka Group Apps Like Sinichka Group for iPhone and iPad
by Ksenia Beloglazova ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 41–60 of 1,000 ranked alternatives.
Anton Ardyshev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ivan Kataev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-30
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-22
MAK FOOD SERVIS, MAS ULIYATI CHEKLANGAN JAMIYATI
Order food and pay instantly
Order food from fast-food outlets across Uzbekistan. Browse menu items including popular EVOS lavash. Place and pay for orders in seconds. Pick up ready meals at the pickup zone or choose delivery for hot dishes in 30 minutes.
★ 4.4 114 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BARTELLO, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-10-05
Anastasia Perminova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Niyama Holding
★ 3.4 10 ratings Food & Drink Free Data updated 2026-09-09
Dmitry Ivanov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Matvei Afanasiev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-29
Matvei Afanasiev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-20
Ekaterina Mazenina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-26
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-22
DMITRIY SUKHAREV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-14
KONTAKT GRUPP, OOO
★ 4.8 31 ratings Food & Drink Free Data updated 2026-09-15
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-03
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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